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ILIAD SIGNED

Intra-Logistics with Integrated Automatic Deployment: safe and scalable fleets in shared spaces

Total Cost €

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EC-Contrib. €

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Partnership

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 ILIAD project word cloud

Explore the words cloud of the ILIAD project. It provides you a very rough idea of what is the project "ILIAD" about.

socially    observations    standards    tracking    robotic    stakeholders    pose    market    formal    mix    allocation    placed    tackle    quality    normative    facilities    fleet    robots    intralogistic    patterns    uol    mixed    life    unforeseeable    scientifically    robot    drivers    platform    today    safe    flexible    goals    deployable    human    providers    learned    iliad    uniquely    national    limitations    deploying    markets    shared    quantifying    environments    humans    pursues    planning    cycles    heterogeneous    sites    predicting    intralogistics    warehouse    overcome    proven    models    mobile    manufacturing    centre    inferred    operation    motion    actor    efficient    pressing    food    services    changing    integration    record    fleets    movements    rock    optimising    track    map    demands    self    foundation    shorter    solid    maximise    safety    analysing    integrate    automation    cognitive    transition    depending    manipulation    realistic    optimisation    multiple    respective    solutions    guarantees    systematically   

Project "ILIAD" data sheet

The following table provides information about the project.

Coordinator
OREBRO UNIVERSITY 

Organization address
address: FAKULTETSGATAN 1
city: OREBRO
postcode: 70182
website: www.oru.se

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Sweden [SE]
 Project website https://iliad-project.eu
 Total cost 6˙987˙715 €
 EC max contribution 6˙987˙715 € (100%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2016-1
 Funding Scheme RIA
 Starting year 2017
 Duration (year-month-day) from 2017-01-01   to  2020-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    OREBRO UNIVERSITY SE (OREBRO) coordinator 1˙628˙888.00
2    ROBERT BOSCH GMBH DE (GERLINGEN-SCHILLERHOEHE) participant 1˙256˙370.00
3    TECHNISCHE UNIVERSITAET MUENCHEN DE (MUENCHEN) participant 1˙117˙193.00
4    UNIVERSITA DI PISA IT (PISA) participant 1˙097˙293.00
5    UNIVERSITY OF LINCOLN UK (LINCOLN) participant 1˙005˙322.00
6    KOLLMORGEN AUTOMATION AB SE (MOLNDAL) participant 280˙129.00
7    ACT OPERATIONS RESEARCH IT SRL IT (ROMA) participant 226˙850.00
8    LOGISTIC ENGINEERING SERVICES LTD UK (HALESOWEN) participant 179˙672.00
9    GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER DE (HANNOVER) participant 143˙956.00
10    ORKLA FOODS SVERIGE AB SE (MALMO) participant 52˙038.00

Map

 Project objective

Today, intralogistic services have to respond quickly to changing market needs, unforeseeable trends and shorter product life cycles. These drivers pose new demands on intralogistic systems to be highly flexible, rock-solid reliable, self-optimising, quickly deployable and safe yet efficient in environments shared with humans. ILIAD will enable the transition to automation of intralogistic services with key stakeholders from the food distribution sector, where these challenges are particularly pressing. We will develop robotic solutions that can integrate with current warehouse facilities, extending the state of the art to achieve self-deploying fleets of heterogeneous robots in multiple-actor systems; life-long self-optimisation; manipulation from a mobile platform; efficient and safe operation in environments shared with humans; and efficient fleet management with formal guarantees. Scientifically, ILIAD pursues ambitious goals for complex cognitive systems in human environments beyond a specific use-case. We will overcome limitations in the state of the art in tracking and analysing humans; quantifying map quality and predicting future states depending on activity patterns inferred from long-term observations; planning of socially normative movements using learned human models; integration of task allocation, coordination and motion planning for heterogeneous robot fleets; and systematically studying human safety in mixed environments, providing a foundation for future safety standards. Our consortium is uniquely placed to tackle these challenges and to maximise exploitation beyond the project’s duration. It includes partners with a proven track record in all key research areas, leading technology providers for intralogistics, end users that are leading in their respective markets, and the National Centre for Food Manufacturing at partner UoL, facilitating access to realistic test sites. This mix of partners will ensure a very high impact of the project results.

 Deliverables

List of deliverables.
Precise localisation and mapping in dynamic environments Documents, reports 2019-11-25 12:35:36
Report on Spatio-Temporal Representations for Long-Term Operations in Intra-Logistics Documents, reports 2019-11-25 12:35:36
First demonstration at ORU Demonstrators, pilots, prototypes 2019-11-25 12:35:37
Perception system for detecting boxes and wrapping Documents, reports 2019-11-25 12:35:32
ILIAD flyer Websites, patent fillings, videos etc. 2019-11-25 12:35:37
Public ILIAD website online and social media appearance initialised Websites, patent fillings, videos etc. 2019-10-08 10:45:12
Report on typical risks for human injury in the envisaged use cases Documents, reports 2019-10-08 10:45:12
System architecture Other 2019-10-08 10:45:12
Report on optimization strategies for task allocation and coordination Documents, reports 2019-10-08 10:45:12

Take a look to the deliverables list in detail:  detailed list of ILIAD deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Tomás Vintr, Sergi Molina, Ransalu Senanayake, George Broughton, Zhi Yan, Jirı Ulrich, Tomasz Piotr Kucner, Chittaranjan Srinivas Swaminathan, Filip Majer, Mária Stachová, Achim J. Lilienthal and Tomás Krajník
Time-varying Pedestrian Flow Models for Service Robots
published pages: , ISSN: , DOI:
2019-10-08
2018 Ravi Teja Chadalavada, Henrik Andreasson, Maike Schindler, Rainer Palm and Achim J. Lilienthal
Accessing your navigation plans! Human Robot Intention Transfer using Eye Tracking Glasses
published pages: , ISSN: , DOI: 10.3233/978-1-61499-902-7-253
2019-10-08
2019 Timm Linder, Michael Johan Hernandez Leon, Narunas Vaskevicius and Kai Oliver Arras
Towards Training Person Detectors for Mobile Robots using Synthetically Generated RGB-D Data
published pages: , ISSN: , DOI:
2019-10-08
2019 Li Sun, Cheng Zhao, Zhi Yan, Pengcheng Liu, Tom Duckett, Rustam Stolkin
A Novel Weakly-Supervised Approach for RGB-D-Based Nuclear Waste Object Detection
published pages: 3487-3500, ISSN: 1530-437X, DOI: 10.1109/jsen.2018.2888815
IEEE Sensors Journal 19/9 2019-10-08
2019 Federico Celi, Li Wang, Lucia Pallottino, Magnus Egerstedt
Deconfliction of Motion Paths With Traffic Inspired Rules
published pages: 2227-2234, ISSN: 2377-3766, DOI: 10.1109/lra.2019.2899932
IEEE Robotics and Automation Letters 4/2 2019-10-08
2019 Raphael Kusumoto, Luigi Palmieri, Markus Spies, Akos Csiszar, and Kai. O. Arras
Informed Information Theoretic Model Predictive Control
published pages: , ISSN: , DOI:
2019-10-08
2017 Tomasz Piotr Kucner, Martin Magnusson, Erik Schaffernicht, Victor Hernandez Bennetts, Achim J. Lilienthal
Enabling Flow Awareness for Mobile Robots in Partially Observable Environments
published pages: 1093-1100, ISSN: 2377-3766, DOI: 10.1109/LRA.2017.2660060
IEEE Robotics and Automation Letters 2/2 2019-10-08
2017 Andrey Rudenko, Luigi Palmieri, and Kai O. Arras
Predictive Planning for a Mobile Robot in Human Environments
published pages: , ISSN: , DOI:
2017 IEEE ICRA Workshop on AI Planning and Robotics: Challenges and Methods 2019-10-08
2017 Sergi Molina, Grzegorz Cielniak, Tomáš Krajník, and Tom Duckett
Modelling and Predicting Rhythmic Flow Patterns in Dynamic Environments
published pages: , ISSN: , DOI:
2017 RAS Conference on Robotics and Autonomous Systems 2019-10-08
2017 HÃ¥kan Almqvist, Martin Magnusson, Tomasz P. Kucner, Achim J. Lilienthal
Learning to detect misaligned point clouds
published pages: , ISSN: 1556-4959, DOI: 10.1002/rob.21768
Journal of Field Robotics 2019-10-08
2017 Jaime Pulido Fentanes, Christian Dondrup, and Marc Hanheide
Navigation Testing for Continuous Integration in Robotics
published pages: , ISSN: , DOI:
2017 RAS Conference on Robotics and Autonomous Systems 2019-10-08
2017 Toma´s Vintr, Sergi Molina, Gregorz Cielniak, Tom Duckett, Tom ˇ a´s Krajn ˇ ´ık
Spatiotemporal models for motion planning in human populated environments
published pages: , ISSN: , DOI:
2017 Student Conference on Planning in Artificial Intelligence and Robotics (PAIR) 2019-10-08
2018 Nico Mansfeld, Mazin Hamad, Marvin Becker, Antonio Gonzales Marin, Sami Haddadin
Safety Map: A Tool for Global Robot Safety Evaluation and Safe Robot Design
published pages: , ISSN: , DOI: 10.15488/3572
IEEE International Conference on Robotics and Automation (ICRA), Workshop on Autonomous Robot Design 2019-10-08
2018 Andrey Rudenko, Luigi Palmieri, Achim J. Lilienthal and Kai O. Arras
Human Motion Prediction Under Social Grouping Constraints
published pages: , ISSN: , DOI:
2019-10-08
2018 Timm Linder, Dennis Griesser, Narunas Vaskevicius and Kai O. Arras
Towards Accurate 3D Person Detection and Localization from RGB-D in Cluttered Environments
published pages: , ISSN: , DOI:
2019-10-08
2018 Daniel Adolfsson, Stephanie Lowry, and Henrik Andreasson
Improving Localisation Accuracy using Submaps in warehouses
published pages: , ISSN: , DOI:
2019-10-08
2018 Nico Mansfeld, Mazin Hamad, Marvin Becker, Antonio Gonzales Marin, Sami Haddadin
Safety Map: A Unified Representation for Biomechanics Impact Data and Robot Instantaneous Dynamic Properties
published pages: 1880-1887, ISSN: 2377-3766, DOI: 10.1109/LRA.2018.2801477
IEEE Robotics and Automation Letters 3/3 2019-10-08
2018 L. Kunze, N. Hawes, T. Duckett, M. Hanheide
Introduction to the Special Issue on AI for Long-Term Autonomy
published pages: 4431-4434, ISSN: 2377-3766, DOI: 10.1109/lra.2018.2870466
IEEE Robotics and Automation Letters 3/4 2019-10-08
2018 Zhi Yan, Li Sun, Tom Duckett, and Nicola Bellotto
Multisensor Online Transfer Learning for 3D LiDAR-based Human Detection with a Mobile Robot
published pages: , ISSN: , DOI:
2019-10-08
2018 István Sárándi, Timm Linder, Kai O. Arras and Bastian Leibe
Synthetic Occlusion Augmentation with Volumetric Heatmaps for the 2018 ECCV PoseTrack Challenge on 3D Human Pose Estimation
published pages: , ISSN: , DOI:
2019-10-08
2018 Saeed Gholami Shahbandi, Martin Magnusson, Karl Iagnemma
Nonlinear Optimization of Multimodal Two-Dimensional Map Alignment With Application to Prior Knowledge Transfer
published pages: 2040-2047, ISSN: 2377-3766, DOI: 10.1109/LRA.2018.2806439
IEEE Robotics and Automation Letters 3/3 2019-10-08
2018 Li Sun, Zhi Yan, Anestis Zaganidis, Cheng Zhao, Tom Duckett
Recurrent-OctoMap: Learning State-Based Map Refinement for Long-Term Semantic Mapping With 3-D-Lidar Data
published pages: 3749-3756, ISSN: 2377-3766, DOI: 10.1109/lra.2018.2856268
IEEE Robotics and Automation Letters 3/4 2019-10-08
2018 Lucas Beyer, Alexander Hermans, Timm Linder, Kai O. Arras, Bastian Leibe
Deep Person Detection in Two-Dimensional Range Data
published pages: 2726-2733, ISSN: 2377-3766, DOI: 10.1109/LRA.2018.2835510
IEEE Robotics and Automation Letters 3/3 2019-10-08
2018 Cheng Zhao, Li Sun, Pulak Purkait, Tom Duckett, Rustam Stolkin
Dense RGB-D Semantic Mapping with Pixel-Voxel Neural Network
published pages: 3099, ISSN: 1424-8220, DOI: 10.3390/s18093099
Sensors 18/9 2019-10-08
2018 Lars Kunze, Nick Hawes, Tom Duckett, Marc Hanheide, Tomas Krajnik
Artificial Intelligence for Long-Term Robot Autonomy: A Survey
published pages: 4023-4030, ISSN: 2377-3766, DOI: 10.1109/lra.2018.2860628
IEEE Robotics and Automation Letters 3/4 2019-10-08
2018 Chittaranjan Srinivas Swaminathan, Tomasz Piotr Kucner, Martin Magnusson, Luigi Palmieri and Achim J. Lilienthal
Down The CLiFF: Flow-aware Trajectory Planning under Motion Pattern Uncertainty
published pages: , ISSN: , DOI:
2019-10-08
2018 Cheng Zhao, Li Sun, Pulak Purkait, Tom Duckett, and Rustam Stolkin
Learning monocular visual odometry with dense 3D mapping from dense 3D flow
published pages: , ISSN: , DOI:
2019-10-08
2018 Saeed Gholami Shahbandi, Martin Magnusson
2D map alignment with region decomposition
published pages: , ISSN: 0929-5593, DOI: 10.1007/s10514-018-9785-7
Autonomous Robots 2019-10-08
2018 István Sárándi, Timm Linder, Kai O. Arras, and Bastian Leibe
How Robust is 3D Human Pose Estimation to Occlusion?
published pages: , ISSN: , DOI:
2019-10-08
2018 Federico Pecora, Henrik Andreasson, Masoumeh Mansouri and Vilian Petkov
A Loosely-Coupled Approach for Multi-Robot Coordination, Motion Planning and Control
published pages: , ISSN: , DOI:
International Conference on Automated Planning and Scheduling (ICAPS 2018) 2019-10-08
2018 Anestis Zaganidis, Li Sun, Tom Duckett, Grzegorz Cielniak
Integrating Deep Semantic Segmentation Into 3-D Point Cloud Registration
published pages: 2942-2949, ISSN: 2377-3766, DOI: 10.1109/lra.2018.2848308
IEEE Robotics and Automation Letters 3/4 2019-10-08
2018 Sergi Molina, Grzegorz Cielniak, Tomáš Krajník, Tom Duckett
Modelling and Predicting Rhythmic Flow Patterns in Dynamic Environments
published pages: 135-146, ISSN: , DOI: 10.1007/978-3-319-96728-8_12
2019-10-08
2018 João Salvado, Federico Pecora, Masoumeh Mansouri, and Robert Krug
Motion Planning and Goal Assignment for Robot Fleets Using Trajectory Optimization
published pages: , ISSN: , DOI: 10.1109/iros.2018.8594118
2019-10-08
2018 Nico Mansfeld, Mazin Hamad, Marvin Becker, Antonio Gonzales Marin and Sami Haddadin
Safety Map: A Tool for Global Robot Safety Evaluation and Safe Robot Design
published pages: , ISSN: , DOI:
2019-10-08

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